Search our Publications
Latest Publications
Nikola Aulig and Markus Olhofer , "Topology Optimization by Predicting Sensitivities based on Local State Features", 5th. European Congress on Computational Mechanics (ECCM V), pp. 3578-3589, 2014.
AbstractTopology optimization attempts to find the optimal distribution of material within a design space, providing the basic layout and shape of a structure. The problem of identifying regions which should contain material and those that should contain void can be efficiently solved by utilizing analytical sensitivity information. However, in engineering optimization problems this information is not generally available, for example when attempting to d...
Download Bibtex file
Lars Gräning and Bernhard Sendhoff , "Shape Mining: A Holistic Data Mining Approach for Engineering Design Synthesis", Advanced Engineering Informatics, 2014.
AbstractAlthough the integration of engineering data within the framework of product data management systems has been successful in the recent years, the holistic analysis (from a systems engineering perspective) of multi-disciplinary data or data based on different representations and tools is still not realized in practice. At the same time, the application of advanced data mining techniques to complete designs is very promising and bears a high potent...
Download Bibtex file
Jannik Fritsch , "Workshop on Benchmarking Road Terrain and Lane Detection Algorithms for In-Vehicle Applications", Dearborn, Michigan, USA, 2014.
AbstractDetecting the road area and ego-lane ahead of a vehicle is central to modern driver assistance systems. While lane-detection on well-marked roads is already available in modern vehicles, finding the boundaries of unmarked or weakly marked roads and lanes as they appear in inner-city and rural environments remains an unsolved problem due to the high variability in scene layout and illumination conditions, amongst others. While recent years have wi...
Download Bibtex file Per Mail Request
Annika Besetzny , "Robust Visual Features for Long-term Stable Outdoor Self-localization of Autonomous Service Robots", Frankfurt University of Applied sciences, 2014.
AbstractThe aim of this thesis is to identify robust visual features in an unknown scene, which an autonomous vision-based service robot can use to build a long-term stable map and to localize itself in an outdoor environment still after a long period of time. With the detector-descriptor combination FAST and BRIEF and the OpenCV bruteforce matcher, stable and unstable features are identified on long-term time lapse movies of different environments....
Download Bibtex file Per Mail Request
Matthias Platho, Stefan Klingelschmitt, Julian Eggert , "Combining Behavior and Situation Information for Reliably Estimating Multiple Intentions", 2014 IEEE Intelligent Vehicles Symposium (IV), pp. 388-393, 2014.
AbstractIntersections are the most accident-prone spots in the road network. In order to assist the driver in complex urban intersection situations, an ADAS will be required not only to recognize current but also to anticipate future maneuvers of the involved road users. Current approaches for intention estimation focus mainly on discerning only two intentions based on a vehicle's behavior. We argue that for distinguishing between more than two intention...
Download Bibtex file
Nikola Aulig and Markus Olhofer , "Neuro-evolutionary Topology Optimization of Structures by Utilizing Local State Features", Genetic and Evolutionary Computation Conference 2014, pp. 967-974, 2014.
AbstractIn this paper we propose a novel method for the topology optimization of mechanical structures, based on a hybrid combination of a neuro-evolution with a gradient-based optimizer. Conventional gradient-based topology optimization requires problem-specific sensitivity information, however this is not available in the general case. The proposed method substitutes the analytical gradient by an artificial neural network approximation model, whose par...
Download Bibtex file
Nils Einecke and Julian Eggert , "Block-Matching Stereo with Relaxed Fronto-Parallel Assumption", Intelligent Vehicles Symposium, pp. 700-705, 2014.
AbstractIn this paper, we present a relaxed scheme for block-matching stereo. The main intention is to reduce the inherent assumption that within a block the disparities are constant because typically they are not. Instead of using the matching cost of one disparity within a matching block, the best matching for several disparities are first selected for each pixel and then these best matches are combined to the final block-matching value. Results o...
Download Bibtex file
Timo Friedrich and Stefan Menzel , "A Cascaded Evolutionary Multi-objective Optimization for Solving the Unbiased Universal Electric Motor Family Problem ", 2014 IEEE Congress on Evolutionary Computation (IEEE CEC), 2014.
AbstractFor a successful business model the efficient development and design of a comprehensive product family plays a crucial part in many real world applications. A product family as it occurs e.g. in the automotive domain consists of one or more common platform(s) which cover the commonalities of product variants and the derived product variants. While product variants need to be fast and finely adjusted to market needs, from manufacturing point of vi...
Download Bibtex file
Kaname Narukawa, Yuki Tanigaki, Hisao Ishibuchi , "Evolutionary Many-Objective Optimization Using Preference on Hyperplane", Genetic and Evolutionary Computation Conference 2014, 2014.
AbstractThis paper proposes to represent the preference of a decision maker by Gaussian functions on a hyperplane. The preference is used to evaluate non-dominated solutions as a second criterion instead of the crowding distance in NSGA-II. High performance of our proposal is demonstrated for many-objective DTLZ problems....
Download Bibtex file
Tobias Kühnl and Jannik Fritsch , "Visio-spatial Road Boundary Detection for Unmarked Urban and Rural Roads", Intelligent Vehicles Symposium (IV), 2014.
AbstractThe robust detection of road boundaries is an prerequisite for Advanced Driver Assistant Systems (ADAS), such as Lane Departure Warning and Lane Keeping Assistant Systems. State-of-the-art ADAS rely on lane markings to draw inference about the extend of lanes or the road area. However, on many rural or urban roads markings are worn out or simply not existing. Therefore, this publication proposes a system for vision-based road boundary dete...
Download Bibtex file
1 ... 102 103 104 105 106 107 ... 183
Follow us
